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Smagorinsky, Peter – Review of Educational Research, 1995
The appropriateness of the metaphor of the purity of data is questioned, using a perspective based on L. S. Vygotsky's idea of the zone of proximal development and its emphasis on a genetic method in which development is mediated by cultural tools and signs. (SLD)
Descriptors: Culture, Data Collection, Individual Development, Learning
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Cartland, Patricia E. – Teaching Children Mathematics, 1996
Discusses the use of glyphs, which are pictorial shorthand, to communicate data. Incorporates graphs and Venn diagrams. (MKR)
Descriptors: Data Collection, Diagrams, Elementary Education, Learning Activities
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Cordes, Anne K. – Journal of Speech and Hearing Research, 1994
This paper contends that behavior observation data relating to speech-language pathology are reliable if they are not affected by differences among observers or other variations in the recording context. The theoretical bases of methods used to estimate reliability for observational data are reviewed, and suggestions are provided for improving the…
Descriptors: Data Collection, Interrater Reliability, Observation, Reliability
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Bush, Connee; And Others – Journal of Extension, 1995
"Black box" evaluation considers program input and outcomes (what) without considering process (how and why). A broader approach to evaluation based on implementation process theory explores the social system context of programs and provides information useful for improving them. (SK)
Descriptors: Data Analysis, Data Collection, Extension Education, Program Development
Riddle, Martin – Issues, 1995
Outlines the history of human activity in the Antarctic and discusses environmental impact, responsibility, and management in the Antarctic. Reviews the development of an informational database by the Australian National Antarctic Data Centre that will inform environmental research and decision making. (LZ)
Descriptors: Data Collection, Decision Making, Environmental Education, Environmental Research
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Miller, Mark J.; Wells, Don – Journal of Mental Health Counseling, 1995
Briefly discusses the advantages of the qualitative approach to assessment and provides mental health counselors with some specific and practical qualitative-type measures that can be used effectively in counseling. (JBJ)
Descriptors: Counseling, Counseling Techniques, Counselor Client Relationship, Data Collection
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Clarke, Doug – Australian Mathematics Teacher, 1990
The author, using a weight machine in an airport lounge, varies the machine's input parameters of height and gender to generate data sets of ideal weight. These data are later used at in-service workshops and in both primary and secondary classrooms to explore patterns and make predictions. (JJK)
Descriptors: Data Collection, Elementary Secondary Education, Evaluation, Mathematics Education
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Mertz, Norma T. – Planning and Changing, 1991
Addresses some theoretical, logistical, and methodological problems involved in researching the numbers of females in educational administration. The primary problem is absence of reliable national database and systematic data-gathering processes on national and state levels. Without such data, the research is incomplete, less reliable, and…
Descriptors: Data Collection, Definitions, Elementary Secondary Education, Objectivity
Peer reviewed Peer reviewed
Huettman, Elizabeth – Bulletin of the Association for Business Communication, 1993
Describes an ethnographic case study of the collaboration on the production of an executive letter for a corporation's annual report. Notes that the study used triangulation (multiple methods to view a single object) in an effective manner. (RS)
Descriptors: Business Communication, Data Collection, Ethnography, Higher Education
Peer reviewed Peer reviewed
Suedfeld, Peter; Soriano, Erin – Reference Librarian, 1998
Examines the effectiveness of qualitative and quantitative methods for researching the Holocaust. Concludes that strict adherence to the qualitative-quantitative distinction is counterproductive; both approaches have unique advantages and drawbacks, and data collected in either approach can be analyzed on the basis of the other. (AEF)
Descriptors: Data Analysis, Data Collection, History, Qualitative Research
Bruno, Nick – College Planning & Management, 1999
Discusses practices that a college can use to outsource services and maximize the opportunity for financial and operational success. The importance of data gathering, consensus building, and goal setting are stressed followed by tips on the preparation and completion of Requests for Proposals and recommendations for contract administration. (GR)
Descriptors: Building Operation, Colleges, Data Collection, Educational Facilities
Buchter, Karin – Vocational Training: European Journal, 1999
Guidelines for assessing small business skill needs include paying attention to internal resistance, limiting analysis to a small area, considering all stakeholders' perspectives and interests, using action-research methods, and understanding needs assessment as a continual learning process. (SK)
Descriptors: Action Research, Data Collection, Guidelines, Job Skills
Agron, Joe – American School & University, 2000
Presents data from 1990 to 2000 on college and university maintenance and operations (M & O) spending showing that M & O spending per student is less, spending per square foot is up. Included are M & O median salaries levels, and the median number of full- and part-time staff by function. (GR)
Descriptors: Comparative Analysis, Data Collection, Operating Expenses, Postsecondary Education
Bosserman, David C.; Fischer, Mary – Business Officer, 2000
Explains to college/university business officers how to comply with Governmental Accounting Standards Board Statements Nos. 34, 35, and 9, which require the direct method of presenting cash flows from operating activities and reconciliation of operating cash flows to operating income by fiscal year 2001. Institutions are urged to begin immediately…
Descriptors: Accounting, Compliance (Legal), Data Analysis, Data Collection
Guenther, Kim – Computers in Libraries, 2000
Explains how libraries can use data mining techniques for more effective data collection. Highlights include three phases: data selection and acquisition; data preparation and processing, including a discussion of the use of XML (extensible markup language); and data interpretation and integration, including database management systems. (LRW)
Descriptors: Data Collection, Data Interpretation, Data Processing, Database Management Systems
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